Clustering Method Based on Messy Genetic Algorithm: GA for Remote Sensing Satellite Image Classifications

نویسنده

  • Kohei Arai
چکیده

Clustering method for remote sensing satellite image classification based on Messy Genetic Algorithm: GA is proposed. Through simulation study and experiments with real remote sensing satellite images, the proposed method is validated in comparison to the conventional simple GA. It is also found that the proposed clustering method is useful for preprocessing of the classifications. Keywordsclustering; classification; Genetic Algorityhm: GA; Messy GA; simple GA.

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تاریخ انتشار 2012